Quantum parameter estimation and system identification for quantum technologies

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Quantum systems promise capabilities in sensing, communications and computing that significantly surpass those of current systems that are based on classical rather than quantum physics. The project will develop new data-driven methods for quantum parameter estimation and system identification for quantum systems that are of interest in quantum technological applications. The new methods will be applied to construct mathematical models for linear Gaussian systems that describe quantum optical and optomechanical systems for Gaussian continuous-variable quantum information processing, and for quantum noise spectroscopy, that is, the identification of the quantum noise acting on a quantum system.

The ideal candidate will have a degree in engineering, physics and/or statistics with knowledge of quantum mechanics and control theory. The candidate is expected to have strong analytical skills and a strong interest in the application of ideas and methods from control theory and statistics to quantum technological applications. A dual undergraduate degree in engineering and science (physics or mathematics/stastistics) or an undergraduate and a master's degree in related fields would be advantageous.

Supervisory team
Dr Hendra
Nurdin

Engineering
Electrical Engineering and Telecommunications
Prof. Victor
Solo

Engineering
Electrical Engineering and Telecommunications
A/Prof. Robert
Malaney

Engineering
Electrical Engineering and Telecommunications
h.nurdin@unsw.edu.au